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Manager Data Engineering Jobs in Kansas (NOW HIRING)

Data & AI Engineer

Kansas City, KS

$104K - $125K/yr

... management and AI enablement capabilities. This role focuses on automating data workflows ... You'll collaborate with teams such as Software Engineering, Data, Business Analysts, and Other ...

Data & AI Engineer

Lawrence, KS

$104K - $125K/yr

... management and AI enablement capabilities. This role focuses on automating data workflows ... You'll collaborate with teams such as Software Engineering, Data, Business Analysts, and Other ...

Data & AI Engineer

Lawrence, KS

$108K - $129K/yr

... management and AI enablement capabilities. This role focuses on automating data workflows ... Youll collaborate with teams such as Software Engineering, Data, Business Analysts, and Other ...

Collaborate across the organization with Data Scientists, Product Managers, and other engineering teams to transform research prototypes into robust, production-grade services. * Own the end-to-end ...

Senior Data Engineer

Overland Park, KS · On-site

$103K - $140K/yr

You'll primarily be working with our operations and engineering teams to create and enhance data ... Assumes other tasks and duties as assigned by management. * Mentor team members and advise on best ...

Senior Data Engineer

Overland Park, KS · On-site

$103K - $140K/yr

You'll primarily be working with our operations and engineering teams to create and enhance data ... Assumes other tasks and duties as assigned by management. * Mentor team members and advise on best ...

Senior Data Engineer

Leawood, KS

$103K - $140K/yr

You'll primarily be working with our operations and engineering teams to create and enhance data ... Assumes other tasks and duties as assigned by management. * Mentor team members and advise on best ...

Senior Data Engineer

Overland Park, KS

$103K - $140K/yr

... management. * Mentor team members and advise on best practices. * Bachelor's degree in Mathematics, Statistics, Computer Science, or equivalent experience. * 6+ years of relevant data engineering ...

Senior Data Engineer

Overland Park, KS

$100K - $136K/yr

You'll primarily be working with our operations and engineering teams to create and enhance data ... Assumes other tasks and duties as assigned by management. * Mentor team members and advise on best ...

... data engineering practices within a cloud-based data ecosystem. You will collaborate with ... Ability to manage multiple priorities and adapt to changing requirements in a dynamic environment.

Senior Data Software Engineer

Kansas, KS · On-site +1

$108K - $142K/yr

... engineering and data science. * Experience in building data pipelines and managing large-scale data systems using technologies like SQL and Python. * Expertise in Python. * Experience in cloud ...

Data Engineer

Overland Park, KS · On-site

$113K - $135K/yr

Reports design, reliability and maintenance problems or bugs to design engineering/software ... Bachelor's degree preferred, or equivalent, in Computer Science, Management Information Systems or ...

Leading a team that builds solutions to help customers integrate and manage their first-party customer data * Hire and mentor a new team of full-stack engineers across different levels of seniority

... management activities Manages drawing control and maintains historical project records Applies ... We help organizations modernize complex technology landscapes, harness the power of data, and build ...

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Showing results 1-20

Manager Data Engineering information

See Kansas salary details

$27.6K

$86.6K

$153.4K

How much do manager data engineering jobs pay per year?

As of Jun 21, 2026, the average yearly pay for manager data engineering in Kansas is $86,638.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,900.00 and $111,900.00 per year, depending on experience, location, and employer.

What is the difference between Manager Data Engineering vs Data Engineer?

AspectManager Data EngineeringData Engineer
Required CredentialsBachelor's or Master's in CS, Data Science, or related; often leadership experienceBachelor's or higher in CS, IT, or related; technical certifications optional
Work EnvironmentTeam leadership, project management, strategic planningData pipeline development, coding, data modeling
Employer & Industry UsageTech companies, finance, healthcare, where data teams are commonData-focused roles across various industries

The main difference is that Manager Data Engineering oversees data teams and projects, focusing on strategy and leadership, while Data Engineers handle the technical implementation of data pipelines and infrastructure. Managers typically have more experience and leadership skills, whereas Data Engineers are more hands-on with coding and data architecture.

What are the key skills and qualifications needed to thrive as a Manager Data Engineering, and why are they important?

To thrive as a Manager Data Engineering, you need expertise in data architecture, advanced analytics, and leadership, typically supported by a degree in computer science or a related field. Familiarity with big data tools (like Hadoop, Spark), data warehousing systems, cloud platforms (AWS, Azure), and certifications such as AWS Certified Data Analytics are highly valued. Strong communication, problem-solving, and team management skills help drive project success and foster collaboration. These skills ensure effective data solutions, alignment with business goals, and the ability to lead and grow high-performing engineering teams.

What are Manager Data Engineering roles and responsibilities?

A Manager Data Engineering oversees teams that design, build, and maintain data infrastructure and pipelines for organizations. They are responsible for ensuring the efficient flow and storage of data, implementing best practices in data management, and collaborating with stakeholders to meet business data needs. Additionally, they mentor and guide data engineers, manage project timelines, and ensure data security and quality standards are met. Their role often involves strategic planning to enable data-driven decision making across the company.

How does a Manager of Data Engineering typically collaborate with data scientists and business stakeholders?

A Manager of Data Engineering often serves as a bridge between technical teams and business stakeholders. They work closely with data scientists to ensure that data pipelines and infrastructure meet analytical needs, while also translating business requirements into actionable engineering solutions. Regular coordination meetings, clear documentation, and cross-functional projects are common, enabling seamless collaboration and alignment on goals. This role requires strong communication skills and the ability to balance technical priorities with business objectives.
What are the most commonly searched types of Data Engineering jobs in Kansas? The most popular types of Data Engineering jobs in Kansas are:
What are popular job titles related to Manager Data Engineering jobs in Kansas? For Manager Data Engineering jobs in Kansas, the most frequently searched job titles are:
What cities in Kansas are hiring for Manager Data Engineering jobs? Cities in Kansas with the most Manager Data Engineering job openings:
Infographic showing various Manager Data Engineering job openings in Kansas as of June 2026, with employment types broken down into 1% As Needed, 94% Full Time, 2% Part Time, 1% Temporary, and 2% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $86,638 per year, or $41.7 per hour.
Data & AI Engineer

Data & AI Engineer

Truity Credit Union

Kansas City, KS

$104K - $125K/yr

Full-time

Posted 5 days ago


Job description

JOB SUMMARY

Truity Credit Union is seeking a data-savvy and forward-thinking Data and AI Engineer to advance our data management and AI enablement capabilities. This role focuses on automating data workflows, refining data quality, and leveraging AI/ML tools to solve practical business problems. Rather than full-scale software development, this position emphasizes data transformation, enrichment, querying, and AI-assisted processing, especially using Python, Node.js and SQL.

You’ll collaborate with teams such as Software Engineering, Data, Business Analysts, and Other technology stakeholders to create intelligent workflows, build/refine models and apply AI to real-world business/operational problems.

ESSENTIAL FUNCTIONS

  1. Design and implement data manipulation pipelines using scripting languages like Python and SQL for ingestion, cleansing, enrichment, and formatting.
  2. Apply AI tools and frameworks to automate data classification, validation, and reporting tasks.
  3. Configure and test generative models (LLMs) to enhance data-driven workflows and knowledge management.
  4. Build lightweight scripts and tools for on-demand data exploration, transformation, and summarization.
  5. Partner with analysts and business users to identify AI-powered opportunities for streamlining data operations.
  6. Integrate LLM-based agents for structured and unstructured data extraction, Q&A, and document parsing.
  7. Use vector databases, semantic search, and embedding models to enhance data retrieval and knowledge systems.
  8. Support and maintain data pipelines across structured systems (e.g., SQL warehouses) and semi-structured data sources.
  9. Leverage prompt engineering and AI orchestration frameworks (e.g., LangChain, semantic routers) to optimize task handling.
  10. Monitor AI/data automation scripts to ensure accuracy, transparency, and compliance with data privacy standards.
  11. Document data workflows and AI tools clearly for reuse, maintainability, and auditability.
  12. Collaborate with the risk, security, and compliance teams to ensure responsible and ethical use of AI systems.

KNOWLEDGE, SKILLS, & ABILITIES

  • Proficiency in Python for scripting, data manipulation, and automation.
  • Strong command of SQL for querying, transforming, and joining relational data.
  • Experience with LLM tools and frameworks such as LangChain, OpenAI APIs, Retrieval-Augmented Generation (RAG).
  • Familiarity with vector stores (e.g., FAISS, Weaviate) and embedding-based search.
  • Understanding of data pipelines and orchestration tools (e.g., dbt, Airflow, Pandas workflows).
  • Knowledge of AI agent frameworks and task routing techniques.
  • Ability to build and refine prompt templates and AI-assisted data workflows.
  • Comfort working with cloud environments (e.g., Azure, AWS, or GCP).
  • Strong documentation, communication, and cross-functional collaboration skills.
  • Knowledge of version control, CI/CD pipelines, and containerization tools is preferred
  • Awareness of ethical AI, privacy considerations, and data compliance standards.

QUALIFICATIONS

  • Bachelor’s degree in Data Science, Computer Science, or related technical field.
  • 5+ years of experience in data engineering, analytics, or scripting-heavy roles.
  • 2+ years working with AI/ML tools or automation frameworks, especially for data-related use cases.

REGULATORY COMPLIANCE & OTHER REQUIREMENTS

  • Must maintain confidentiality and adhere to policies including Bank Secrecy Act (BSA), Office of Foreign Asset Control (OFAC), Anti-Money Laundering (AML), and Identity Theft Red Flags.
  • Regular attendance and active collaboration are essential.
  • Ability to perform functions requiring manual dexterity and lift objects up to 25lbs when necessary.
  • Reasonable accommodations will be made under the ADA when applicable.

This job description should not be interpreted as all inclusive. It is intended to identify the duties, responsibilities and requirements of this job. Incumbents may be requested to perform job-related responsibilities and tasks other than those stated in this description. Any physical demand of essential function or requirement of this position will be evaluated as necessary should an incumbent/applicant be unable to perform the function or requirement due to a disability as defined by the Americans with Disabilities Act (ADA). Reasonable accommodation for the specific disability will be made for the incumbent/applicant when possible.

Equal Opportunity Employer/Veterans/Disabled

Equal opportunity employer as to all protected groups, including protected veterans and individuals with disabilities.

If you are an individual with a disability and require a reasonable accommodation to complete any part of the application process or are limited in the ability or unable to access or use this online application process and need an alternative method for applying, you may contact 918.336.7662 or jobs@truitycu.org for assistance. You may also contact us at that same number and email, if you would like to see a copy of our Affirmative Action Plan.